Daniel Huff

PhD @wiscmedphys | ML/AI methods in medical imaging | | he/him

[Daniel Huff @danielthuff]

7/ big thanks to coauthors @victor_santoro, @aj_weisman, @TimothyGPerk, @jeraj_lab, and support from @aiq_solutions!!

[Daniel Huff @danielthuff]

5/ Lesion matching is a harder task (for both 👩‍⚕️and 🤖) in subjects with higher disease burden. Here are IRV metrics as a function of lesion count – plots look similar if you compare automated to physician consensus.

[Daniel Huff @danielthuff]

6/ The big win for automated 🤖matching is in time savings. Automated matching took up to 11 minutes (on a typical desktop workstation – no NASA supercomputer here!), while clinicians took up to 130 minutes (⌛️!!) for the highest burden cases.

[Daniel Huff @danielthuff]

4/ Automated matching met the benchmark of IRV in all study cohorts – meaning the variability between 🤖 and 👩‍⚕️ was similar to variability between 👨‍⚕️ and 👩‍⚕️

[Daniel Huff @danielthuff]

3/ In our study, two #nucmed physicians matched lesions between pairs of #PETCT images of cancer pts. Then, we used an automated 🤖approach to do the same. We assess differences between clinicians 👨‍⚕️ and differences between physician consensus 👨‍⚕️👩‍⚕️ and automated🤖

[Daniel Huff @danielthuff]

2/ Inter-reader variability (IRV) has been widely studied in image segmentation contexts, but another task clinicians 👩‍⚕️👨‍⚕️ perform is longitudinal comparison of multiple images to track lesions in time and determine change.

This task is critical in determining tx. response!

[Daniel Huff @danielthuff]

1/ Excited to share our latest paper! 🧵

Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability https://t.co/xWvQsHNmxs via @ioppublishing

[JNM @JournalofNucMed]

Learn about the future of oncology and therapy: https://t.co/Kb2luyWSfG

#MolecularImaging and #Theranostics = Precision Oncology

#Cancer #NuclearMedicine #JNuclMed

[AIQ Solutions @aiq_solutions]

Join us next Monday at #RSNA22. AIQ's Eric Horler will give a presentation sponsored by @OneMedNet. We hope to see you there, and please contact us if you'd like to connect in Chicago.

[AIQ Solutions @aiq_solutions]

Join us for our free, upcoming #webinar in partnership with @ConferenceForum. Register here to save your spot: https://t.co/oY2FPKrxc9 #ai #ImageAnalysis

[Daniel Huff @danielthuff]

@JanelleCShane @EmptyBowlShow @JustinMcElroy please cover these very important new cereals

[Daniel Huff @danielthuff]

@AlisonRoth14 I hope neither of you are adhering to an intro/methods/results/conclusion format 😂

[Daniel Huff @danielthuff]

This month has been pretty cool - I defended my PhD on imaging #immunotherapy response using #PET from ⁦@wiscmedphys⁩, and am now starting as a research scientist at ⁦@aiq_solutions⁩. Excited for new challenges! 😄

[WARF (Wisconsin Alumni Research Foundation) @WARF_News]

Are you a @UWMadGSEd student or @Badgerdocs / @UWPostdocOffice researcher interested in science careers? Join us at @DiscoveryBldg May 19 to chat with scientists who have careers in the communications space. Registration requested. https://t.co/8NNZbT5073

[Daniel Huff @danielthuff]

hey look its me😅

[Parola Analytics @ParolaAnalytics]

.@WARF_News's #patent filing is a way to monitor organ health during #cancer treatments.

➡️ Read more: https://t.co/JJlVdDuG5A

[Daniel Huff @danielthuff]

4/ Early detection+monitoring of toxicity is critical for keeping pts on #immunotherapy! Our work suggests #PETimaging can play a role here, but big limitation is when scans are acquired after tx start.

[Daniel Huff @danielthuff]

1/ A belated xmas present - our latest article detecting #immunotherapy toxicity on FDG PET was published in #EJNMMI. Elevated uptake in thyroid, lung, and bowel can indicate toxicity in those organs!

Read the deets at: https://t.co/JqhqrDVXyf

[Daniel Huff @danielthuff]

3/ Zooming out to all pts, things get messier - but general trend is elevated organ uptake at time of clinical toxicity dx (or sometimes before!).

Worth noting that organ PET quantification here is automatic thanks to #AI-based organ segmentation.

[Daniel Huff @danielthuff]

Check out our new paper in BPEX using #AI to ID side-effects of #immunotherapy on FDG PET!

w/ @grozomah @MauroNamias @HamidEmamekhoo @JerajLab

Image intensity histograms as imaging biomarkers: application to immune-related colitis. https://t.co/68u81FDKHk via @IOPscience